Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Budget-Constrained Coalition Strategies with Discounting
Authors: Lia Bozzone, Pavel Naumov
IJCAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The paper proposes a sound and complete logical system for reasoning about budget-constrained strategic abilities that incorporates discounting into its semantics. |
| Researcher Affiliation | Academia | Lia Bozzone1 and Pavel Naumov2 1Vassar College 2King s College EMAIL, EMAIL |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described in this paper. |
| Open Datasets | No | The paper is theoretical and does not use or provide access to any datasets for training. |
| Dataset Splits | No | The paper is theoretical and does not mention any specific dataset split information (e.g., training, validation, test splits). |
| Hardware Specification | No | The paper does not describe any experiments and therefore provides no specific hardware details used for running them. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific ancillary software details or version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details or hyperparameters. |